Fix code so that returns the cost

in range (num paths) : Fintialization step av_end_of_period = initial_premium benefit_base = initial_premium remaining_principat = initial_premium for f in range(pro)_periods): prob_surv =[(1g[j]) * mortality_multiplier ] av_beg_of_period = av_end_of_period {j1 fee = av_beg_of_period [j] fee_percent_av av_after_fee =avbegof_period[j]fee[j] epsilon =npr randos. av_growth_rate =npexp(( risk_free_rate - dividend_yield 0.5 volatility**2 )1+ (volatility * epsilon * np.sqrt(1))) av_after_return = av_after_fee[j] (1+avgrowth_rate[j] ) wd_amount = if (age [j]> wd_age) and (duration [j]>min wd_delay): if benefit_type = 'FOR_LIFE': wd_anount = benefit_base [\}] * guarantee_wd_rate elif benefit, type = = 'PRINCIPAL_BACK': wd_amount = min(benefit_baself) * guarantee_wd_rate, max(renaining_principal[f], av_after_return[j])) remaining_principat f}] = remaining_principalf {1] - wd_amount av_after_wd = av_after_return[J] - wd_amount wd_claim = max(wd_anount - av_after_wd [j], 0) dpv_fees =ng.sum(fee discount * prob_surv) total_cost =np, mean (dpv_clains dpvfees) costs. append (total_cost) in np.average (costs)